About

Uttam Grade is a highly motivated and accomplished Data Scientist with a diverse skill set. With a background in Mathematics and Data Science, Uttam has honed his skills in the field of Machine Learning, Deep Learning, and Natural Language Processing. He has worked as an Automation Data Scientist at McKinsey & Company, where he used advanced analytics to improve products and services for customers. Uttam is skilled in setting up Data Visualization analytical tools such as Machine Learning, Regression Model, SQL, and Power-BI, creating and maintaining models, and onboarding new data sets. Uttam has a passion for adventure and has climbed Mount Everest at the young age of 21. He brings the same level of perseverance and determination to his work as a Data Scientist at Accenture, where he is responsible for developing and implementing data-driven solutions. Uttam is well-versed in negotiations, planning and development, data science, and field of machine learning. In addition to his professional experience, Uttam has completed a Post Graduate Program in AI&ML, Machine Learning, Deep Learning, and NLP from NIT Warangal. He also holds a PGDM Course in Data Science from NIIT University and an M.Sc. in Mathematics from Chaudhary Charan Singh University. Uttam's educational background has equipped him with a strong foundation in mathematics and computer science. Uttam is proficient in various technologies, including Python, SQL, AWS, Neural Networks, Sentiment Analysis, Random Forest, Data Engineering, Apache Hive, Kubernetes, and XGBoost. He has also worked on various data science projects, including Topic Modeling, Named Entity Recognition (NER), Text Rank Algorithm using Word Embedding, and Neural Network Sentiment Analysis. With 1.88 years of relevant experience, Uttam is a skilled Data Scientist who is passionate about using data to drive business decisions. He is a coach and mentor who is always willing to share his knowledge and expertise with others. If you are interested in learning more about Uttam's work or discussing data science over coffee, send him an email.